The correct answer is DALL-E, the Azure OpenAI Service model specifically built for DALL-E image generation from text. This model uses a diffusion-based architecture that starts with random noise and iteratively refines it into a coherent, original image based on the semantic meaning of your text prompt, making it ideal for creating custom advertisement visuals from scratch. On the AI-900 exam, this question tests your understanding of which Azure OpenAI model maps to which task—DALL-E for image creation, GPT for text, and Codex for code. A common trap is confusing DALL-E with GPT-3 or GPT-4, which handle text only, not image generation. Remember the memory tip: “DALL-E Draws, GPT Generates Text”—the name itself hints at the surrealist artist Salvador Dalí, linking it directly to visual art creation from words.
AI-900 Practice Question: Describe features of generative AI workloads on Azure
This AI-900 practice question tests your understanding of describe features of generative ai workloads on azure. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A marketing team wants to create original images for advertisements based on text descriptions. Which Azure OpenAI Service model capability should they use?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
DALL-E
DALL-E is the correct choice because it is the Azure OpenAI Service model specifically designed for generating original images from natural language text descriptions. Unlike other models in the suite, DALL-E uses a diffusion-based architecture to create photorealistic or stylized visuals based on prompt inputs, making it ideal for the marketing team's goal of producing custom advertisement imagery.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
GPT-3.5
Why it's wrong here
GPT-3.5 is a large language model optimized for conversational and text generation tasks, not for generating images.
✓
DALL-E
Why this is correct
DALL-E is a generative AI model from Azure OpenAI Service that creates original images from natural language descriptions.
Related concept
Read the scenario before looking for a memorised answer.
✗
Codex
Why it's wrong here
Codex is a model specialized in generating code and is not designed for image creation.
✗
Azure Speech-to-Text
Why it's wrong here
Azure Speech-to-Text converts audio to text, which is unrelated to image generation.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse GPT-3.5 (a text model) with multimodal capabilities, mistakenly thinking it can generate images because it can describe them, but only DALL-E has the dedicated image generation pipeline.
Detailed technical explanation
How to think about this question
DALL-E 2 (the version available in Azure OpenAI Service) employs a two-stage process: a prior model that generates a CLIP image embedding from the text prompt, followed by a diffusion decoder that produces the final image from that embedding. This allows the model to handle complex, compositional prompts and generate multiple variations. In practice, the marketing team can use the 'image generation' REST API endpoint with parameters like 'n' for number of images and 'size' (e.g., 1024x1024) to fine-tune output for ad campaigns.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this AI-900 question in full detail.
Describe features of generative AI workloads on Azure — This question tests Describe features of generative AI workloads on Azure — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: DALL-E — DALL-E is the correct choice because it is the Azure OpenAI Service model specifically designed for generating original images from natural language text descriptions. Unlike other models in the suite, DALL-E uses a diffusion-based architecture to create photorealistic or stylized visuals based on prompt inputs, making it ideal for the marketing team's goal of producing custom advertisement imagery.
What should I do if I get this AI-900 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. An advertising agency wants to generate product images from text prompts. They need the ability to specify the visual style (e.g., photorealistic, oil painting) and also ensure that the generated images are safe for work by blocking inappropriate content. Which Azure OpenAI model and feature should they use?
medium
A.GPT-4 with standard content filtering
✓ B.DALL-E with built-in content filtering
C.GPT-3.5 with custom moderation
D.Codex with output validation
Why B: B is correct because DALL-E is the Azure OpenAI model specifically designed for generating images from text prompts, and it includes built-in content filtering to block inappropriate or unsafe content. This combination directly meets the agency's need to specify visual styles (e.g., photorealistic, oil painting) via prompt engineering while ensuring safety compliance without additional configuration.
Variation 2. A creative agency wants to use Azure OpenAI to generate unique images for social media campaigns based on text descriptions. Which Azure OpenAI model should they use for this purpose?
medium
A.GPT-4
✓ B.DALL-E 3
C.Codex
D.Whisper
Why B: DALL-E 3 is the correct choice because it is the Azure OpenAI model specifically designed for generating images from natural language text descriptions. It uses a diffusion-based architecture to create high-quality, unique visuals that align with the provided prompts, making it ideal for creative social media campaigns.
Variation 3. A digital marketing agency wants to use an AI model that can create original images of products in different styles based on text prompts, such as 'a luxury watch in a futuristic setting.' Which Azure service should they choose?
easy
A.Azure AI Language
B.Azure Cognitive Search
✓ C.Azure OpenAI Service
D.Azure Computer Vision
Why C: Azure OpenAI Service provides access to generative AI models like DALL-E, which can create original images from text prompts. This service is specifically designed for tasks such as generating product images in different styles based on descriptive text, making it the correct choice for the agency's requirement.
Last reviewed: Jun 11, 2026
Question Discussion
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